Principled Statistics in the Age of AI

Principled Statistics in the Age of AI

Principled Statistics in the Age of AI is a one-day workshop organized as part of Prof. Xiao-Li Meng’s (Harvard University) visit to Chalmers University of Technology as a 2026 Jubilee Professor. The workshop will bring together researchers working across statistics, machine learning, causal inference and privacy to discuss how principled statistical thinking can guide science in the context of AI. Featuring invited talks from leading international and local researchers, the workshop is designed to foster an intimate and discussion-rich atmosphere with ample time for conversation and exchange.

Lunch and fika will be provided.

Location: A Working Lab (on the Chalmers campus), Sven Hultins Gata 5, 412 58 Göteborg

Date and time: 9am–4pm, Friday, 5 June 2026

Program

Time Session Details
09:00–09:30 Welcome & Opening Remarks Adel Daoud
09:35–10:20 Talk (Title TBD) Ashkan Panahi
10:20–10:50 Morning Fika Extended break for discussion
10:50–11:35 Persuasive Privacy Joshua Bon
11:40–12:25 Learning causally sound and interpretable composite endpoints for clinical trials Fredrik Johansson
12:25–13:25 Lunch At Waste
13:25–14:10 Talk (Title TBD) Cory McCartan
14:10–14:40 Afternoon Fika Discussion break
14:40–15:55 Keynote Address: From a Cauchy Surprise to the Half-Cauchy Miracle Xiao-Li Meng
15:55–16:00 Closing Remarks Adel Daoud

Talks and Speakers

See the full talk listings and bios on the Talks page.

Registration

Registration is free but mandatory. Please register using the form on the Registration page.



Organizers

Adel Daoud & James Bailie

AI & Global Development Lab

Contact: [last name] [at] chalmers [dot] se (for both Adel and James).